GeorgeQ-Q

ray

Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

Deep-Generative-Models-for-Natural-Language-Processing

DGMs for NLP. A roadmap.

vue-plain-slider

A simple slider component for Vue.js

dgm_latent_bow

Implementation of NeurIPS 19 paper: Paraphrase Generation with Latent Bag of Words

bilibili-captcha

Recognize CAPTCHA generated by bilibili.com

dgSPARSE-Lib

PyTorch-Based Fast and Efficient Processing for Various Machine Learning Applications with Diverse Sparsity

Ucount

简易记账APP

Gumbel-CRF

Implementation of NeurIPS 20 paper: Latent Template Induction with Gumbel-CRFs

pivot_analysis

Implementation of INLG 19 paper: Rethinking Text Attribute Transfer: A Lexical Analysis

dgSPARSE-Wrapper

Unified Sparse Library Wrapper Based on cuSPARSE

dgSPARSE.github.io

Main website for dgSPARSE project

cs3900_error_not_found

COMP3900 Major Project

neet

Simple framework for building a traced graph.

dgSPARSE-doc